#pragma warning disable 108
using System;
using System.Runtime.InteropServices;
using System.Collections.Generic;
using Cephei;
using Cephei.Generic;
namespace Cephei.QL.Math.Distributions
{
     // <summary> 
	// ! Given x between zero and one as the integral value of a gaussian normal distribution this class provides the value y such that formula here ...  It use Acklam's approximation: by Peter J. Acklam, University of Oslo, Statistics Division. URL: http://home.online.no/~pjacklam/notes/invnorm/index.html  This class can also be used to generate a gaussian normal distribution from a uniform distribution. This is especially useful when a gaussian normal distribution is generated from a low discrepancy uniform distribution: in this case the traditional Box-Muller approach and its variants would not preserve the sequence's low-discrepancy.
	// </summary>
    [Guid ("143557E8-D788-4139-B15C-9A27BE2B8A40"),ComVisible(true)]
	public interface IInverseCumulativeNormal 
	{
		///////////////////////////////////////////////////////////////
        // Methods
        //
    }

    // <summary> 
	// ! Given x between zero and one as the integral value of a gaussian normal distribution this class provides the value y such that formula here ...  It use Acklam's approximation: by Peter J. Acklam, University of Oslo, Statistics Division. URL: http://home.online.no/~pjacklam/notes/invnorm/index.html  This class can also be used to generate a gaussian normal distribution from a uniform distribution. This is especially useful when a gaussian normal distribution is generated from a low discrepancy uniform distribution: in this case the traditional Box-Muller approach and its variants would not preserve the sequence's low-discrepancy. Factory
	// </summary>
   	[ComVisible(true)]
    public interface IInverseCumulativeNormal_Factory // : Collection_Factory<IInverseCumulativeNormal, ICell<IInverseCumulativeNormal>>
    {
        ///////////////////////////////////////////////////////////////
        // Factory methods
        //
        
	    IInverseCumulativeNormal Create (Microsoft.FSharp.Core.FSharpOption<Double> average, Microsoft.FSharp.Core.FSharpOption<Double> sigma);
    }
}

